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Open nowPosted 21 hours ago

Data Engineer

CodeRoad31 open roles

Where
Latin America
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Your applicationOpen nowData EngineerCodeRoad · Latin America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CodeRoad's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.0% of postings close within 7 days. Measured by our own scanner across the market. CodeRoad postings stay open a median of 42 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.0%7 days
  4. 16.8%14 days
  5. 34.3%30 days
This job: posted 21 hours ago

CodeRoad median: 42 days open

The posting

Engagement Type: [Full-Time / Contractor]

About CodeRoad

CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.

Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.

Why Build Your Career at CodeRoad?

  • High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
  • Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
  • Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
  • High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.

Key Responsibilities

  • Design & Architect Scalable Data Pipelines: Engineer, optimize, and maintain robust ETL/ELT data pipelines to ingest, transform, and load high-volume transactional data into MS SQL Server and PostgreSQL platforms.
  • Power AI Products & RAG Systems: Architect data ingestion, metadata structures, chunking, and embedding pipelines feeding Retrieval-Augmented Generation (RAG) platforms and automated detection systems.
  • Leverage AI-First Data Engineering: Daily application of modern AI tools to accelerate code development, data modeling, and dataset design for advanced AI and analytics workloads.
  • Orchestrate & Monitor Data Workflows: Schedule, automate, and manage complex data jobs utilizing Airflow, Azure Data Factory (ADF), and SQL Agent while implementing strict data quality checks.
  • Optimize Database & Query Performance: Perform deep SQL query tuning, dimensional modeling, and structural optimization across enterprise data warehouse and lakehouse architectures.
  • Collaborate & Ensure Production Excellence: Work directly with product owners, data scientists, and IT Operations to triage production issues, enforce governance, and maintain Git/Bitbucket and Jira delivery standards.

What You Bring

  • Core Experience: 3+ years of professional data engineering experience building, orchestrating, and supporting production-grade, high-volume data pipelines.
  • Technical Stack Expertise: Advanced proficiency in Python (pandas) and SQL (complex CTEs, window functions, tuning), with deep experience in MS SQL Server and PostgreSQL.
  • Pipeline Orchestration & Cloud Knowledge: Hands-on experience orchestrating workflows using Airflow, Azure Data Factory (ADF), or SQL Agent within cloud ecosystems (Azure preferred).
  • Data Modeling & AI Data Pipelines: Strong understanding of dimensional modeling, data lakehouse structures, and data preparation for AI systems (e.g., embeddings, document ingestion, vector search).
  • DevOps & Engineering Practices: Proven track record using Git (Bitbucket), Jira, and CI/CD best practices; containerization exposure (Docker) is a plus.
  • Communication & Availability: Fluent English (written and verbal) with the ability to articulate technical concepts to cross-functional stakeholders and overlap with US Central business hours.

What You’ll Love

  • USA Contractor / 100% Remote
  • Competitive Pay (USD)
  • Holidays Off & Paid Time Off
  • Health insurance assistance program
  • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.

Ready to Build What Actually Ships?

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